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cirrus
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configure
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4 folders
2 files
nagee
Upgrade knot to v1.16.0
11d ago
5f4ffa63
group_data
Add release operation
2 months ago
inventory
fmt
2 months ago
operations
Upgrade knot to v1.16.0 Starting with v1.16.0-alpha, spindles own CI pipeline data directly. The appview no longer stores pipeline runs or follows spindle event streams for pipeline history. Instead, it asks the configured spindle for pipeline lists, single pipeline details, workflow logs, retries, and cancellations over XRPC. This means that existing pipeline logs / runs won’t appear after you upgrade. Existing pipeline history from the appview cannot be automatically migrated. If you want to migrate your data, you can reach out to us and we will send you an SQL file that’ll add the data into your spindle. The update step is just to Upgrade to the latest tag (v1.16.0 or above), then head to the spindle dashboard and hit the “retry” button to verify your spindle
1 week ago
tools
Add secrets for digital ocean space This also adds a tool for adding secrets!
2 months ago
__init__.py
Upgrade knot to v1.16.0 Starting with v1.16.0-alpha, spindles own CI pipeline data directly. The appview no longer stores pipeline runs or follows spindle event streams for pipeline history. Instead, it asks the configured spindle for pipeline lists, single pipeline details, workflow logs, retries, and cancellations over XRPC. This means that existing pipeline logs / runs won’t appear after you upgrade. Existing pipeline history from the appview cannot be automatically migrated. If you want to migrate your data, you can reach out to us and we will send you an SQL file that’ll add the data into your spindle. The update step is just to Upgrade to the latest tag (v1.16.0 or above), then head to the spindle dashboard and hit the “retry” button to verify your spindle
1 week ago
terraform.json
Replace ansible with pyinfra > pyinfra turns Python code into shell commands and runs them on your > servers. Execute ad-hoc commands and write declarative operations. > Target SSH servers, local machine and Docker containers. Fast and scales > from one server to thousands. > > Think ansible but Python instead of YAML, and up to 10x faster.
2 months ago